| Literature DB >> 35425960 |
Benedetta Pellegrino1,2, Andrea Herencia-Ropero3,4, Alba Llop-Guevara3, Flaminia Pedretti3,4, Alejandro Moles-Fernández5, Cristina Viaplana6, Guillermo Villacampa6, Marta Guzmán3, Olga Rodríguez3, Judit Grueso3, Jose Jiménez7, Enrique J Arenas8,9, Andrea Degasperi10,11, João M L Dias10,11, Josep V Forment12, Mark J O'Connor13, Olivier Déas14, Stefano Cairo14, Yinghui Zhou15, Antonino Musolino1,2, Carlos Caldas16,17, Serena Nik-Zainal10,11, Robert B Clarke18, Paolo Nuciforo7, Orland Díez5,19, Xavier Serres-Créixams20, Vicente Peg21, Martín Espinosa-Bravo22, Teresa Macarulla23,24, Ana Oaknin24,25, Joaquin Mateo24,26, Joaquín Arribas4,8,9,27,28, Rodrigo Dienstmann6, Meritxell Bellet24,29, Mafalda Oliveira24,29, Cristina Saura24,29, Sara Gutiérrez-Enríquez5, Judith Balmaña5,24, Violeta Serra3,9.
Abstract
PARP inhibitors (PARPi) are approved drugs for platinum-sensitive, high-grade serous ovarian cancer (HGSOC) and for breast, prostate, and pancreatic cancers (PaC) harboring genetic alterations impairing homologous recombination repair (HRR). Detection of nuclear RAD51 foci in tumor cells is a marker of HRR functionality, and we previously established a test to detect RAD51 nuclear foci. Here, we aimed to validate the RAD51 score cut off and compare the performance of this test to other HRR deficiency (HRD) detection methods. Laboratory models from BRCA1/BRCA2-associated breast cancer, HGSOC, and PaC were developed and evaluated for their response to PARPi and cisplatin. HRD in these models and patient samples was evaluated by DNA sequencing of HRR genes, genomic HRD tests, and RAD51 foci detection. We established patient-derived xenograft models from breast cancer (n = 103), HGSOC (n = 4), and PaC (n = 2) that recapitulated patient HRD status and treatment response. The RAD51 test showed higher accuracy than HRR gene mutations and genomic HRD analysis for predicting PARPi response (95%, 67%, and 71%, respectively). RAD51 detection captured dynamic changes in HRR status upon acquisition of PARPi resistance. The accuracy of the RAD51 test was similar to HRR gene mutations for predicting platinum response. The predefined RAD51 score cut off was validated, and the high predictive value of the RAD51 test in preclinical models was confirmed. These results collectively support pursuing clinical assessment of the RAD51 test in patient samples from randomized trials testing PARPi or platinum-based therapies. SIGNIFICANCE: This work demonstrates the high accuracy of a histopathology-based test based on the detection of RAD51 nuclear foci in predicting response to PARPi and cisplatin. ©2022 American Association for Cancer Research.Entities:
Mesh:
Substances:
Year: 2022 PMID: 35425960 PMCID: PMC7612637 DOI: 10.1158/0008-5472.CAN-21-2409
Source DB: PubMed Journal: Cancer Res ISSN: 0008-5472 Impact factor: 13.312